Clann V5.1: Modernising phylogenetic supertree inference

A substantial update to Clann, the maximum likelihood supertree inference tool. V5.1 introduces proper ML optimality criteria based on Steel & Rodrigo (2008), Robinson–Foulds distance scoring, ML topology tests (Kishino–Hasegawa and Shimodaira–Hasegawa), parallel heuristic search, source-tree weighting schemes, supertree landscape clustering analysis, and a modernised interactive CLI. The codebase has been fully refactored into modular components. The project has been revived after years of dormancy—legacy phylogenetics methods deserve a second life.